A quantidade de dados complexos (imagens, vídeos, séries temporais e outros) tem crescido rapidamente. Dados complexos são adequados para serem recuperados por similaridade, o que significa definir consultas de acordo com um dado critério de similaridade. Além disso, dados complexos usualmente são associados com outras informações, geralmente de tipos de dados convencionais, que devem ser utilizadas em conjunto com operações por similaridade para responder a consultas complexas. Vários trabalhos propuseram técnicas para busca por similaridade, entretanto, a maioria das abordagens não foi concebida para ser integrada com um SGBD, tratando consultas por similaridade como operações isoladas, disassociadas do processador de consultas. O objetivo principal desta tese é propor alternativas algébricas, estruturas de dados e algoritmos para permitir um uso abrangente de consultas por similaridade associadas às demais operações de busca disponibilizadas pelos SGBDs relacionais e executar essas consultas compostas eficientemente. Para alcançar este objetivo, este trabalho apresenta duas contribuições principais. A primeira contribuição é a proposta de uma nova operação por similaridade, chamada consulta aos k-vizinhos mais próximos estendida com condições (ck-NNq), que estende a consulta aos k-vizinhos mais próximos (k-\'NN SUB. q\') de maneira a fornecer uma condição adicional, modificando a semântica da operação. A operação proposta permite representar consultas demandadas por várias aplicações, que não eram capazes de ser representadas anteriormente, e permite homogeneamente integrar condições de filtragem complementares à k-\'NN IND.q\'. A segunda contribuição é o desenvolvimento do FMI-SiR (user-defined Features, Metrics and Indexes for Similarity Retrieval ), que é um módulo de banco de dados que permite executar consultas por similaridade integradas às demais operações do SGBD. O módulo permite incluir métodos de extração de características e funções de distância definidos pelo usuário no núcleo do gerenciador de banco de dados, fornecendo grande exibilidade, e também possui um tratamento especial para imagens médicas. Além disso, foi verificado através de experimentos sobre bancos de dados reais que a implementação do FMI-SiR sobre o SGBD Oracle é capaz de consultar eficientemente grandes bancos de dados complexos / The amount of complex data (images, videos, time series and others) has been growing at a very fast pace. Complex data are well-suited to be searched by similarity, which means to define queries according to a given similarity criterion. Moreover, complex data are usually associated with other information, usually of conventional data types, which must be employed in conjunction with similarity operations to answer complex queries. Several works proposed techniques for similarity searching, however, the majority of the approaches was not conceived to be integrated into a DBMS, treating similarity queries as isolated operations detached from the query processor. The main objective of this thesis is to propose algebraic alternatives, data structures and algorithms to allow a wide use of similarity queries associated to the search operations provided by the relational DBMSs and to execute such composite queries eficiently. To reach this goal, this work presents two main contributions. The first contribution is the proposal of a new similarity operation, called condition-extended k-Nearest Neighbor query (ck-\'NN IND. q\'), that extends the k-Nearest Neighbor query (k-\'NN IND. q\') to provide an additional conditio modifying the operation semantics. The proposed operation allows representing queries required by several applications, which were not able to be represented before, and allows to homogeneously integrate complementary filtering conditions to the k-\'NN IND. q\'. The second contribution is the development of the FMI-SiR(user-defined Features, Metrics and Indexes for Similarity Retrieval), which is a database module that allows executing similarity queries integrated to the DBMS operations. The module allows including user-defined feature extraction methods and distance functions into the database core, providing great exibility, and also has a special treatment for medical images. Moreover, it was verified through experiments over real datasets that the implementation of FMI-SiR over the Oracle DBMS is able to eficiently search very large complex databases

No description available.

Bakgrund: Tiden patient och vårdpersonal har för preoperativ förberedelse minskar då det blir allt vanligare att patienter läggs in på operationsdagen. Därför är behovet motiverat att undersöka den mest effektiva informationsmetoden för att lindra lidande hos vuxna kirurgpatienter. Muntlig och skriftlig information är exempel på metoder som kan användas för att ge information. Då dagens moderna teknik tar allt mer plats i vården kan även digitala metoder utgöra alternativ. Syfte: Att undersöka effekten av multimedia med avsikt att ge preoperativ information för att reducera pre- och postoperativt lidande såsom smärta och ångest samt för att öka kunskapsnivån och tillfredsställelsegraden hos vuxna patienter i samband med kirurgi. Metod: Litteraturöversikt. Tio kvantitativa originalstudier inhämtades från databaserna PubMed, PsycINFO och Scopus. Artiklarna var från år 2007 till 2019. De var antingen randomiserade kontrollerade studier eller kvasi-experimentella studier. Samtliga artiklar undersökte en multimediainterventions effekt på pre- eller postoperativ ångest, postoperativ smärta, tillfredsställelse eller kunskap. Resultat: Multimedia visade sig inte ha någon signifikant effekt på preoperativ ångest däremot var samtliga studier eniga om multimedias goda effekt på postoperativ ångest. Det fanns ingen signifikant effekt på postoperativ smärta. Tillfredsställelsegraden med operationen påverkades inte av multimedia och tillfredsställelsen med informationen visade varierande resultat. Multimedia hade signifikant god effekt på patienters kunskapsnivå. Slutsats: Multimedia visade enbart effekt på patienters kunskapsnivå och postoperativa ångest. Ingen effekt kunde ses på preoperativ ångest eller tillfredsställelse med operationen. Avseende tillfredsställelse med informationen framkom motstridiga resultat. Inte heller kunde några slutsatser dras om postoperativ smärta då det saknades jämförande studier.

This thesis explores the history of virtual reality and how the medium can help make psychological horror adventure games become a more immersive experience. Project Labyrinth takes inspiration from psychological horror adventure games, Greek mythology, and experimental music to immerse the player in a VR dream/nightmare. Appealing to the senses of sight and sound, the moody visual effects and haunting music, along with the use of procedural generation, create an eerie atmosphere in which the player must explore and problem-solve in order to find their way through the labyrinthine game. The environment changes and evolves as the game is replayed, creating a dream or nightmare-like setting, stirring the sensation of déjà vu. The game was developed in VR using the Oculus Quest, a device that allows the player to freely move about without being tethered to a computer. The Quest’s ability to use hand, body, and room tracking significantly improves an already immersive experience. / Includes bibliography. / Thesis (M.F.A.)--Florida Atlantic University, 2020. / FAU Electronic Theses and Dissertations Collection

Please read the abstract in the section 00front of this document / Dissertation (MA (Information Science))--University of Pretoria, 2001. / Information Science / unrestricted

This thesis describes architecture of IMS and shows possibilities of IMS platform testing. Theoretical part describes layer model of the IMS as a whole and then describes it’s individual layers. Next chapters analyse key entities of the IMS, interconnection between reference points and features of protocols used in the IMS. Practical part deals with the introduction of Open IMS Core, which was chosen for the IMS technology testing. Settings necessary to carry out testing and interconnection between PBX Asterisk are shown in next chapters. After introduction of IMS desktop clients is carried out an instant messaging communication within the IMS network. The communication is captured and analysed by Wireshark application. Afterwards there is described how SIP protocol sends messages within the IMS. After a brief introduction to the PBX Asterisk, there are discussed assumptions for the interconnection between Asterisk and IMS. There are also described necessary settings needed for implementation and communication testing itself. The first test is an audio session carried out between the desktop IMS client and IP phone registered to the PBX Asterisk. Communication is captured for the analysis of preparation, conduction and termination of the session. After the successful realization of the audio call, video session has been made. The session was analysed in detail, including statistics of control signals and transmitted packets. There are two laboratory excercises in attachement of this thesis, which will help students to understand the IMS technology and communication options within the IMS network

Vortrag UNIX-Stammtisch 02/96

Vortrag UNIX-Stammtisch 02/99

Das kulturelle Gedächtnis speichert immer gewaltigere Mengen von Informationen und Daten. Doch nur ein verschwindend geringer Teil der Inhalte ist derzeit über digitale Kanäle recherchierbar und verfügbar. Die Projekte mediaglobe und yovisto ermöglichen, den wachsenden Bestand an audiovisuellen Dokumenten auffindbar und nutzbar zu machen und begleiten Medienarchive in die digitale Zukunft. mediaglobe hat das Ziel, durch automatisierte und semantische Verfahren audiovisuelle Dokumente zur deutschen Zeitgeschichte zu erschließen und verfügbar zu machen. Die Vision von mediaglobe ist ein web-basierter Zugang zu umfassenden digitalen AV-Inhalten in Medienarchiven. Dazu bietet mediaglobe zahlreiche automatisierte Verfahren zur Analyse von audiovisuellen Daten, wie z.B. strukturelle Analyse, Texterkennung im Video, Sprachanalyse oder Genreanalyse. Der Einsatz semantischer Technologien verknüpft die Ergebnisse der AV-Analyse und verbessert qualitativ und quantitativ die Ergebnisse der Multimedia-Suche. Ein Tool zum Rechtemanagement liefert Informationen über die Verfügbarkeit der Inhalte. Innovative und intuitiv bedienbare Benutzeroberflächen machen den Zugang zu kulturellem Erbe aktiv erlebbar. mediaglobe vereinigt die Projektpartner Hasso-Plattner Institut für Softwaresystemtechnik (HPI), Medien-Bildungsgesellschaft Babelsberg, FlowWorks und das Archiv der defa Spektrum. mediaglobe wird im Rahmen des Forschungsprogramms »THESEUS – Neue Technologien für das Internet der Dienste« durch das Bundesministerium für Wirtschaft und Technologie gefördert. Die Videosuchmaschine yovisto hingegen ist spezialisiert auf Aufzeichnungen akademischer Lehrveranstaltungen und implementiert explorative und semantische Suchstrategien. yovisto unterstützt einen mehrstufigen 'explorativen' Suchprozess, in dem der Suchende die Möglichkeit erhält, den Bestand des zugrundeliegenden Medienarchivs über vielfältige Pfade entsprechend seines jeweiligen Interesses zu erkunden, so dass am Ende dieses Suchprozesses Informationen entdeckt werden, von deren Existenz der Suchende bislang nichts wusste. Um dies zu ermöglichen vereinigt yovisto automatisierte semantische Medienanalyse mit benutzergenerierten Metadaten zur inhaltlichen Erschließung von AV-Daten und ermöglicht dadurch eine punktgenaue inhaltsbasierte Suche in Videoarchiven.

Digitalization throughout the industry leads to rapidly increasing amounts of data captured and stored which brings forth challenges for indexing and ac- cessing large digital repositories. Very often, the data takes form of complex multi-part entities, such as images with relational attributes, photos with ge- ographical coordinates or textual posts with multimedia content and implicit social relationships. The complexity of such entities and lack of fixed struc- ture makes it impossible to use classical information retrieval methods based on attribute filtering, ranking or grouping, as it is not easy or sometimes even possible to define an exact query. In this thesis, we target data exploration as an act of exploring an unfamiliar area via a series of intuitive, effective and efficient system-supported steps. We present methodologies, demo applications and evaluation results targeting different data sources of multimedia data. Fur- thermore, we focus on the ability to utilize multiple modalities within a single session and on integrating the results into widely used software solutions.